近几年发表论文：

[1]      Xiumei Wang, Tianzhen Zhang, Xinbo Gao^*, Multiview Clustering Based on Non-Negative Matrix Factorization and Pairwise Measurements,IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2018.2842052.(JCR 一区)

[2]   Xiumei Wang, Yanan Gu, Xinbo Gao^*, Dual residual attention module network for single image super resolution, Neurocomputing, 2019, 364(28):269-279. (JCR 二区)

[3]    Zheng Hui, Xinbo Gao， Yunchu Yang， Xiumei Wang*. Lightweight Image Super-Resolution with Information Multi-distillation Network， ACM Mulitmedia (MM), 2019. （计算机A类会议）

[4]      Xiumei Wang, Weifang Liu, XinboGao^*, A Novel Dimensionality Reduction Method with Discriminative Generalized Eigen-decomposition, Neurocomputing, 2016, 173(1): 163-171.(JCR 二区)

[5]      Xiumei Wang, Xinbo Gao^*, Dacheng Tao, Yuan Yuan, Semi-Supervised Gaussian Process Latent Variable Model with Pairwise Constraints. Neurocomputing, 2010, 73(10-12):2186-2195.(JCR 二区)

[6]      Zheng Hui, Xiumei Wang*, XinboGao. Fast and Accurate Single Image Super-Resolution via Information Distillation Network. Proceedings of the International Conference on Computation Vision and Pattern Recognition(CVPR).2018:723-731. （计算机A类会议）

[7]      Peitao Cheng, YuanyingQiu, Xiumei Wang^*. A New Single Image Super-Resolution Method Based on the Infinite Mixture Model. IEEE Access, 2017, 5: 2228-2240.(JCR 二区)

[8]      Peitao Cheng, Yuanying Qiu, Ke Zhao, Xiumei Wang^*. A transductive graphical model for single image super-resolution [J]. Neurocomputing, 2015, 148:376-387 .(JCR 二区)

[9]      Yuemei Zhang, Xiumei Wang*, XinboGao. Adaptive Latent Representation for Multi-View Subspace Learning. Proceedings of the International Conference on Pattern Recognition(ICPR), 2018.（计算机C类会议）

[10]      Zheng Hui, Xiumei Wang*, XinboGao. Two-Stage Convolutional Network for Image Super-Resolution. Proceedings of the International Conference on Pattern and Recognition(ICPR), 2018.（计算机C类会议）

[11]      Zheng Hui, Xiumei Wang*, XinboGao. Deep Networks for Single ImageSuper-Resolution with Multi-context Fusion. Proceedings of the International Conference on Image and Graphics(ICIG), 2017:397-407.

[12]  Di Wang, XinboGao*, and Xiumei Wang, Lihuo He. Label Consistent Matrix Factorization Hashing for Large-Scale Cross-Modal Similarity Search.IEEE Trans. on Pattern Analysis and Machine Intelligence (IEEE TPAMI),DOI:10.1109/TPAMI.2018.2861000.(JCR 一区)

[13]  Di Wang, XinboGao*, and Xiumei Wang. Semi-supervised NonnegativeMatrix Factorization via Constraint Propagation. IEEE Transactions on Cybernetics,2016, 46(1): 233-244.(JCR 一区)

[14]  Di Wang, XinboGao*, Xiumei Wang, Lihuo He, and Bo Yuan. MultimodalDiscriminative Binary Embedding for Large-scale Cross-modal Retrieval. IEEETransactions on Image Processing, 2016, 25(10): 4540-4554.(JCR 二区)

[15]  Di Wang, XinboGao*, and Xiumei Wang. Semi-supervised ConstraintsPreserving Hashing. Neurocomputing, 2015, 167(1): 230-242.(JCR 二区)

[16]  Di Wang, XinboGao, Xiumei Wang, and Lihuo He. Semantic topicmultimodal hashing for cross-media retrieval [C]. International Joint Conference onArtificial Intelligence(IJCAI), 2015: 3890-3896.（计算机A类会议）

专利：

[1]双模人脸识别方法及装置, ZL 201010107155.7,2010.2

[2]基于支持向量机的自适应判决反馈均衡器设计方法, CN102340466A

[3]基于非线性张量分解与视角流形的多视角人脸识别方法,ZL200810232342.0, 2010.10

[4]基于生物激发特征和流形学习的极光图像分类方法, CN103049767A

[5]基于稀疏表示和视皮层注意机制的目标检测方法,CN102567997A

[6]基于鲁棒视觉注意特征与稀疏表示的不良图像判别方法,CN102034107A

[7]全天空极光图像占空比参数的提取方法, CN102129576A

[8]基于高分辨率字典的稀疏表征图像超分辨重建方法,CN102142137A

[9]基于分块策略的大规模数据场体绘制方法, CN101604453